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### Migration from Python Frameworks |
If you're coming from Python, the concepts are similar but the implementation differs: |
```python |
# LangChain (Python) |
from langchain.llms import OpenAI |
from langchain.chains import LLMChain |
from langchain.memory import ConversationBufferMemory |
llm = OpenAI(temperature=0.7) |
memory = ConversationBufferMemory() |
chain = LLMChain(llm=llm, memory=memory) |
``` |
```typescript |
// VoltAgent (TypeScript) - typed approach |
import { Agent } from "@voltagent/core"; |
import { VercelAIProvider } from "@voltagent/vercel-ai"; |
import { openai } from "@ai-sdk/openai"; |
const agent = new Agent({ |
name: "Assistant", |
instructions: "Helpful assistant", |
llm: new VercelAIProvider(), |
model: openai("gpt-4o"), |
// Memory automatic - no configuration needed |
}); |
``` |
### Migration from Manual API Integration |
```typescript |
// Old approach - manual API calls |
const response = await openai.chat.completions.create({ |
messages: [{ role: "user", content: userInput }], |
tools: [ |
/* manual tool definitions */ |
], |
// Manual memory management... |
}); |
// With VoltAgent - framework handles everything |
const response = await agent.generateText(userInput, { |
userId: "user-123", |
conversationId: "chat-1", |
}); |
``` |
## Community & Ecosystem |
Advantages of VoltAgent's TypeScript-first community: |
### TypeScript-First Community |
- **NPM packages** built specifically for VoltAgent |
- **Learning resources** TypeScript-specific documentation |
- **Support channels** Active community on Discord, GitHub Discussions |
### Enterprise Features |
- **Security & compliance** built-in |
- **Performance monitoring** with VoltOps |
- **Type-safe configurations** compile-time validation |
### TypeScript Advantages |
- **Developer productivity**: Faster development cycles |
- **Code quality**: Fewer bugs, better maintainability |
- **Team collaboration**: Better code reviews and onboarding |
- **Ecosystem maturity**: Rich tooling and libraries |
### Get Started Now |
- **Try VoltAgent**: Build your first TypeScript AI agent |
- **Join the community**: Connect with other TypeScript AI developers |
- **Contribute**: Help shape the future of TypeScript AI development |
VoltAgent offers an alternative designed for AI agent development in the TypeScript ecosystem. |
<|endoftext|> |
# source: VoltAgent__voltagent/website/blog/2025-06-03-vercel-ai-observability/index.md type: docs |
--- |
title: LLM Observability for Vercel AI SDK |
description: How to track your LLM Agents built with Vercel AI SDK? |
slug: vercel-ai-llm-observability |
image: https://cdn.voltagent.dev/2025-05-31-vercel-ai-observability/social.png |
authors: omeraplak |
--- |
import ZoomableMermaid from '@site/src/components/blog-widgets/ZoomableMermaid'; |
## VoltOps: Tracking LLM Agents built with Vercel AI SDK in Production |
[Vercel AI SDK](https://ai-sdk.dev/docs/introduction/) is today one of the most popular tools to create AI agents. That SDK is so popular among developers because of its TypeScript-first approach and inclusion of such cutting-edge AI features like streaming, tool usage, and multi-modal support right out of the box. |
We wrote about this [in our previous blog post](https://voltagent.dev/blog/vercel-ai-sdk/). |
 |
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